Plan customer discovery interviews with the right goal, segment, constraints, and method. Use when preparing interviews for problem validation, churn research, or new product ideas.
Install
The skill file stays in the publisher's repository.
Paste the copied command in a terminal. It installs this SKILL.md into that agent.
npx skills add deanpeters/Product-Manager-Skills --skill discovery-interview-prep -a cursor -y
Download skills/discovery-interview-prep/SKILL.md from the publisher, or copy the path and open the repository. PlugMCP lists the skill and does not host the file.
Where does discovery-interview-prep live?
The publisher keeps it at https://github.com/deanpeters/Product-Manager-Skills.
Which agents can use discovery-interview-prep?
Claude, Cursor, and Codex can read a SKILL.md you add from the publisher's repository.
Plan customer discovery interviews with the right goal, segment, constraints, and method. Use when preparing interviews for problem validation, churn research, or new product ideas.
name: discovery-interview-prep
argument-hint: "[research goal]"
description: Plan customer discovery interviews with the right goal, segment, constraints, and method. Use when preparing interviews for problem validation, churn research, or new product ideas.
intent: >-
Guide product managers through preparing for customer discovery interviews by asking adaptive questions about research goals, customer segments, constraints, and methodologies. Use this to design effective interview plans, craft targeted questions, avoid common biases, and maximize learning from limited customer access—ensuring discovery interviews yield actionable insights rather than confirmation bias or surface-level feedback.
type: interactive
theme: discovery-research
best_for:
"Designing a customer discovery interview plan"
"Choosing the right interview methodology for your goals and constraints"
"Preparing for research with limited customer access"
scenarios:
"I need to interview 5 enterprise customers about why they churned in the last 90 days"
"I'm validating a new product idea with a 2-week deadline and cold outreach only"
"I want to understand why users aren't activating on our core feature"
estimated_time: "15-20 min"
Purpose
Guide product managers through preparing for customer discovery interviews by asking adaptive questions about research goals, customer segments, constraints, and methodologies. Use this to design effective interview plans, craft targeted questions, avoid common biases, and maximize learning from limited customer access—ensuring discovery interviews yield actionable insights rather than confirmation bias or surface-level feedback.
This is not a script generator—it's a strategic prep process that outputs a tailored interview plan with methodology, question framework, and success criteria.
Input
Works best with: Your research goal — what you need to learn from customers.
Also useful: Customer segment, access constraints (how many interviews, by when), and any hypotheses you're carrying in.
Anything supplied with the invocation itself — text after the skill name, a pasted context dump, or an appended ARGUMENTS: line — counts as answers already given. Use it and skip whatever it covers; don't re-ask.
Arriving empty-handed? That works too. The skill opens by asking your primary goal for the interviews, then narrows with follow-ups.
Example invocation:Prep interviews to understand why enterprise customers churn after 6 months — I can get 5 interviews in 2 weeks.
session heads-up + entry mode (Guided, Context dump, Best guess)
one-question turns with plain-language prompts
progress labels (for example, Context Qx/8 and Scoring Qx/5)
interruption handling and pause/resume behavior
numbered recommendations at decision points
quick-select numbered response options for regular questions (include Other (specify) when useful)
This file defines the domain-specific assessment content. If there is a conflict, follow this file's domain logic.
Application
This interactive skill asks up to 4 adaptive questions, offering 3-4 enumerated options at each step.
Step 0: Gather Context (Before Questions)
Agent suggests:
Before we design your interview plan, let's gather context:
For Your Own Product (Existing or Planned):
Problem hypothesis or product concept description
Target customer segment (if known)
Existing research (support tickets, churn data, user feedback)
Product website or positioning materials
Key assumptions you're trying to validate
For Investigating an Existing Problem:
Customer complaints, support tickets, or churn reasons
Hypotheses about why customers leave or struggle
Competitive alternatives customers switch to
If Exploring a New Problem Space:
Find similar products or adjacent solutions
Copy competitor materials, customer reviews (G2, Capterra), or community discussions (Reddit, forums)
We'll use these to frame hypotheses
You can paste this content directly, or we can proceed with a brief description.
Question 1: Research Goal
Agent asks:
"What's the primary goal of these discovery interviews? (What do you need to learn?)"
Offer 4 enumerated options:
Problem validation — "Confirm that a problem exists and is painful enough to solve" (for new product ideas)
Jobs-to-be-Done discovery — "Understand what customers are trying to accomplish and why current solutions fail" (for product strategy)
Retention/churn investigation — "Figure out why customers leave or don't activate" (for existing products with churn issues)
Feature prioritization — "Validate which problems/features matter most to customers" (for roadmap planning)
Or describe your own research goal (be specific: what question are you trying to answer?).
User response: [Selection or custom]
Question 2: Target Customer Segment
Agent asks:
"Who are you interviewing? (Be as specific as possible.)"
Offer 4 enumerated options (adapted based on Q1):
Example (if Q1 = Problem validation):
People who experience the problem regularly — E.g., "Small business owners who manually process invoices weekly" (high pain frequency)
People who've tried to solve it — E.g., "Users who've tried 2+ competing solutions and churned" (understand failures)
People in the target segment (regardless of problem awareness) — E.g., "All freelancers, even if they don't realize invoicing is a problem" (uncover latent needs)
People who've recently experienced the problem — E.g., "Customers who churned in the last 30 days" (fresh memory)
Or describe your specific target segment (role, company size, behaviors, demographics).
Adaptation tip: Use personas or customer segments from provided materials.
User response: [Selection or custom]
Question 3: Constraints
Agent asks:
"What constraints are you working with for these interviews?"
Offer 4 enumerated options:
Limited access — "Can only interview 5-10 customers, need results in 2 weeks" (common for startups or fast timelines)
Existing customer base — "Have 100+ active customers, can recruit easily" (mature product advantage)
Cold outreach required — "No existing customers; need to recruit from scratch via LinkedIn, ads, or communities" (new product challenge)
Internal stakeholders only — "Can interview sales/support teams who talk to customers daily" (proxy research, less ideal but pragmatic)
Or describe your specific constraints (budget, time, access, team capacity).
User response: [Selection or custom]
Question 4: Interview Methodology
Agent asks:
"Based on your goal ([Q1]), target segment ([Q2]), and constraints ([Q3]), here are recommended interview methodologies:"
Offer 3-4 enumerated options (context-aware based on Q1-Q3):
Example (if Q1 = Problem validation, Q2 = People who experience problem regularly, Q3 = Limited access):
Problem validation interviews (Mom Test style) — Ask about past behavior, not hypotheticals. Focus on: "Tell me about the last time you [experienced the problem]. What did you try? What happened?" (Best for: Validating if problem is real and painful)
Jobs-to-be-Done (JTBD) interviews — Focus on what customers are trying to accomplish, not what they want. Ask: "What were you trying to get done? What alternatives did you consider? What made you choose X?" (Best for: Understanding motivations and switching behavior)
Switch interviews — Interview customers who recently switched from a competitor or alternative. Ask: "What prompted you to look for a new solution? What was the 'push' away from the old tool? What 'pulled' you to try ours?" (Best for: Understanding competitive positioning and unmet needs)
Timeline/journey mapping interviews — Walk through their entire experience chronologically. Ask: "Walk me through the first time you encountered this problem. What happened next? How did you try to solve it?" (Best for: Uncovering full context and pain points)
Choose a number, combine approaches (e.g., '1 & 2'), or describe your own methodology.
Adaptation examples:
If Q1 = Retention/churn → Prioritize "Exit interviews" or "Switch interviews (away from your product)"
If Q1 = Feature prioritization → Prioritize "Opportunity solution tree interviews" or "Kano model interviews"
If Q3 = Internal stakeholders only → Add caveat: "Proxy research (talking to sales/support) is better than nothing, but validate with real customers ASAP"
User response: [Selection or custom]
Output: Generate Interview Plan
After collecting responses, the agent generates a tailored interview plan:
# Discovery Interview Plan
**Research Goal:** [From Q1]
**Target Segment:** [From Q2]
**Constraints:** [From Q3]
**Methodology:** [From Q4]
---
## Interview Framework
### Opening (5 minutes)
- **Build rapport:** "Thanks for taking the time. I'm [name], and I'm researching [problem space]. This isn't a sales call—I'm here to learn from your experience."
- **Set expectations:** "I'll ask about your experiences with [topic]. There are no right answers. Feel free to be honest—critical feedback is most helpful."
- **Get consent:** "Is it okay if I take notes / record this conversation?"
---
### Core Questions (30-40 minutes)
**Based on your methodology ([Q4]), here are suggested questions:**
#### [Methodology Name] Questions:
1. **[Question 1]** — [Rationale for asking this]
- **Follow-up:** [Dig deeper with...]
- **Avoid:** [Don't ask leading version like...]
2. **[Question 2]** — [Rationale]
- **Follow-up:** [...]
- **Avoid:** [...]
3. **[Question 3]** — [Rationale]
- **Follow-up:** [...]
- **Avoid:** [...]
4. **[Question 4]** — [Rationale]
- **Follow-up:** [...]
- **Avoid:** [...]
5. **[Question 5]** — [Rationale]
- **Follow-up:** [...]
- **Avoid:** [...]
**Example (if Methodology = Problem validation - Mom Test style):**
1. **"Tell me about the last time you [experienced this problem]."** — Gets specific, recent behavior (not hypothetical)
- **Follow-up:** "What were you trying to accomplish? What made it hard? What did you try?"
- **Avoid:** "Would you use a tool that solves this?" (leading, hypothetical)
2. **"How do you currently handle [this problem]?"** — Reveals workarounds, alternatives, pain intensity
- **Follow-up:** "How much time/money does that take? What's frustrating about it?"
- **Avoid:** "Don't you think that's inefficient?" (leading)
3. **"Can you walk me through what you did step-by-step?"** — Uncovers details, edge cases, context
- **Follow-up:** "What happened next? Where did you get stuck?"
- **Avoid:** "Was it hard?" (yes/no question, not useful)
4. **"Have you tried other solutions for this?"** — Reveals competitive landscape, unmet needs
- **Follow-up:** "What did you like/dislike? Why did you stop using it?"
- **Avoid:** "Would you pay for a better solution?" (hypothetical)
5. **"If you had a magic wand, what would change?"** — Opens space for ideal outcomes (but treat with skepticism—focus on past behavior, not wishes)
- **Follow-up:** "Why does that matter to you? What would that enable?"
- **Avoid:** Taking feature requests literally
---
### Closing (5 minutes)
- **Summarize:** "Just to recap, I heard that [key insights]. Did I get that right?"
- **Ask for referrals:** "Do you know anyone else who experiences this problem? Could you introduce me?"
- **Thank them:** "This was incredibly helpful. I really appreciate your time."
---
## Biases to Avoid
1. **Confirmation bias:** Don't ask "Don't you think X is a problem?" → Ask "Tell me about your experience with X."
2. **Leading questions:** Don't ask "Would you use this?" → Ask "What have you tried? Why did it work/fail?"
3. **Hypothetical questions:** Don't ask "If we built Y, would you pay?" → Ask "What do you currently pay for? Why?"
4. **Pitching disguised as research:** Don't say "We're building Z to solve X" → Say "I'm researching X. Tell me about your experience."
5. **Yes/no questions:** Don't ask "Is invoicing hard?" → Ask "Walk me through your invoicing process."
---
## Success Criteria
You'll know these interviews are successful if:
✅ **You hear specific stories, not generic complaints** — "Last Tuesday, I spent 3 hours..." vs. "Invoicing is annoying"
✅ **You uncover past behavior, not hypothetical wishes** — "I tried Zapier but quit after 2 weeks" vs. "I'd probably use automation"
✅ **You identify patterns across 3+ interviews** — Same pain points emerge independently
✅ **You're surprised by something** — If everything confirms your assumptions, you're asking leading questions
✅ **You can quote customers verbatim** — Actual language = authentic insights
---
## Interview Logistics
**Recruiting:**
- [Based on Q3 constraints, suggest recruitment channels]
- **Example (if Q3 = Limited access):** "Reach out to 20-30 people to get 5-10 interviews (33% response rate is typical)"
- **Example (if Q3 = Existing customers):** "Email 50 customers with $50 Amazon gift card incentive"
**Scheduling:**
- 45-60 minutes per interview (30-40 min conversation + buffer)
- Record if possible (with consent), or take detailed notes
- Schedule 2-3 per day max (you need time to synthesize)
**Synthesis:**
- After each interview, write key insights immediately (memory fades fast)
- After 5 interviews, look for patterns (common pains, jobs, workarounds)
- Use `problem-statement.md` to frame findings
---
**Ready to start recruiting and interviewing? Let me know if you'd like to refine any part of this plan.**
Examples
Example 1: Good Discovery Interview Prep (Problem Validation)
Step 0 - Context: User shares hypothesis: "Freelancers waste time chasing late payments manually."
Q1 Response: "Problem validation — Confirm that late payment follow-ups are painful enough to solve"
Q2 Response: "People who experience the problem regularly — Freelancers who invoice 5+ clients monthly"
Q3 Response: "Cold outreach required — No existing customers; need to recruit via LinkedIn, Reddit, freelancer communities"
Q4 Response: "Problem validation interviews (Mom Test style) — Focus on past behavior, not hypotheticals"
Generated Plan: Includes 5 Mom Test-style questions (last time you chased a late payment, how do you currently handle it, what have you tried, etc.), biases to avoid (leading questions, hypotheticals), and success criteria (specific stories, past behavior, patterns across 3+ interviews).
Why this works:
Goal is clear (validate if problem is real)
Segment is specific (freelancers with 5+ clients/month)
Methodology matches goal (Mom Test for validation)
Questions focus on past behavior, not wishes
Success criteria are measurable
Common Pitfalls
Pitfall 1: Asking What Customers Want
Symptom: "What features do you want us to build?"
Consequence: You get feature requests, not problems. Customers don't know solutions.
Fix: Ask about past behavior: "Tell me about the last time you struggled with X."
Pitfall 2: Pitching Instead of Listening
Symptom: Spending 20 minutes explaining your product idea
Consequence: Customer feels obligated to be nice. No honest feedback.
Fix: Don't mention your solution until the last 5 minutes (if at all). Focus on their problems.
Pitfall 3: Interviewing the Wrong People
Symptom: Interviewing friends, family, or people who don't experience the problem
Consequence: Polite feedback, not real insights.
Fix: Interview people who experience the problem regularly and recently.
Pitfall 4: Stopping at 1-2 Interviews
Symptom: "We talked to 2 people, they liked it, let's build!"
Consequence: Small sample = confirmation bias.
Fix: Interview 5-10 people minimum. Look for patterns, not one-off feedback.
Download skills/discovery-interview-prep/SKILL.md from the publisher, or copy the path and open the repository. PlugMCP lists the skill and does not host the file.
Where does discovery-interview-prep live?
The publisher keeps it at https://github.com/deanpeters/Product-Manager-Skills.
Which agents can use discovery-interview-prep?
Claude, Cursor, and Codex can read a SKILL.md you add from the publisher's repository.